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Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
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In: Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II ; https://hal.archives-ouvertes.fr/hal-03635971 ; Matthias Hagen; Suzan Verberne; Craig Macdonald; Christin Seifert; Krisztian Balog; Kjetil Nørvåg; Vinay Setty. Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II, 13186, Springer International Publishing, pp.347-354, 2022, Lecture Notes in Computer Science, 978-3-030-99738-0. ⟨10.1007/978-3-030-99739-7_44⟩ (2022)
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Cross-media Scientific Research Achievements Query based on Ranking Learning ...
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EMAKG: an enriched version of the Microsoft Academic Knowledge Graph ...
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EMAKG: an enriched version of the Microsoft Academic Knowledge Graph ...
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GENOME: A GENeric methodology for Ontological Modelling of Epics ...
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Quantifying knowledge synchronisation in the 21st century ...
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EMAKG: An Enhanced Version Of The Microsoft Academic Knowledge Graph ...
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Remembering the Holocaust in America: Why Our Futures Depend on It
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In: University Videos (2022)
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User needs in language archives: Findings from interviews with language archive managers, depositors, and end-users
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Johannes Klatt, Librarian for Oriental Manuscripts at the Royal Library in Berlin from 1872 to 1892
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User needs in language archives: Findings from interviews with language archive managers, depositors, and end-users
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Evaluation of the Availability and Utilization Status of Texts in Core Subjects in Primary Schools’ Libraries
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In: Library Philosophy and Practice (e-journal) (2022)
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| 14 |
Topic models do not model topics: epistemological remarks and steps towards best practices
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03261599 ; Journal of Data Mining and Digital Humanities, Episciences.org, 2021, 2021, ⟨10.46298/jdmdh.7595⟩ (2021)
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| 15 |
Topic models do not model topics: epistemological remarks and steps towards best practices
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In: https://hal.archives-ouvertes.fr/hal-03261599 ; 2021 (2021)
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Topic models do not model topics: epistemological remarks and steps towards best practices
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In: https://hal.archives-ouvertes.fr/hal-03261599 ; 2021 (2021)
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Abstract:
The social sciences and digital humanities have recently adopted the machine learning technique of topic modeling to address research questions in their fields. This is problematic in a number of ways, some of which have not received much attention in the debate yet. This paper adds epistemological concerns centering around the interface between topic modeling and linguistic concepts and the argumentative embedding of evidence obtained through topic modeling. It concludes that topic modeling in its present state of methodological integration does not meet the requirements of an independent research method. It operates from relevantly unrealistic assumptions, is non-deterministic, cannot effectively be validated against a reasonable number of competing models, does not lock into a well-defined linguistic interface, and does not scholarly model topics in the sense of themes or content. These features are intrinsic and make the interpretation of its results prone to apophenia (the human tendency to perceive random sets of elements as meaningful patterns) and confirmation bias (the human tendency to perceptually prefer patterns that are in alignment with pre-existing biases). While partial validation of the statistical model is possible, a conceptual validation would require an extended triangulation with other methods and human ratings, and clarification of whether statistical distinctivity of lexical co-occurrence correlates with conceputal topics in any reliable way.
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Keyword:
[INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL]; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [SHS]Humanities and Social Sciences
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URL: https://hal.archives-ouvertes.fr/hal-03261599v2/document
https://hal.archives-ouvertes.fr/hal-03261599
https://hal.archives-ouvertes.fr/hal-03261599v2/file/topic_models_do_not_model_topics_final_draft.pdf
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MOR Digital: The Advent of a New Lexicographical Portuguese Project
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In: eLex 2021 - Seventh biennial conference on electronic lexicography ; https://hal.inria.fr/hal-03195362 ; eLex 2021 - Seventh biennial conference on electronic lexicography, Jul 2021, Brno, Czech Republic ; https://elex.link/elex2021/ (2021)
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État de l'art du changement sémantique à partir de plongements contextualisés
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In: COnférence en Recherche d'Informations et Applications - CORIA 2021, French Information Retrieval Conference ; https://hal.archives-ouvertes.fr/hal-03320337 ; COnférence en Recherche d'Informations et Applications - CORIA 2021, French Information Retrieval Conference, Apr 2021, Grenoble (virtuel), France (2021)
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MORDigital: The Advent of a New Lexicographical Portuguese Project
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In: eLex 2021 - Seventh biennial conference on electronic lexicography ; https://hal.inria.fr/hal-03195362 ; eLex 2021 - Seventh biennial conference on electronic lexicography, Jul 2021, Brno, Czech Republic ; https://elex.link/elex2021/ (2021)
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From the Formal Definition of Concept to the Linguistic Definition of Term ; De la définition formelle du concept à la définition en langue du terme
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In: ISSN: 2299-7164 ; EISSN: 2353-3218 ; Academic Journal of Modern Philology ; https://hal.archives-ouvertes.fr/hal-03549751 ; Academic Journal of Modern Philology, Uniwersytet Wroctawski, 2021, ⟨10.34616/ajmp.2021.13⟩ (2021)
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